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2020 – today
- 2022
[j11]Yuri A. Katz
, Alain Biem:
Growing cumulative activity of major tropical cyclones: Detection, attribution, and projections. Commun. Nonlinear Sci. Numer. Simul. 108: 106202 (2022)
2010 – 2019
- 2015
- [c27]Alain Biem, Maria Butrico, Mark Feblowitz, Tim Klinger, Yuri Malitsky, Kenney Ng, Adam Perer, Chandra Reddy, Anton Riabov, Horst Samulowitz, Daby M. Sow, Gerald Tesauro, Deepak S. Turaga:
Towards Cognitive Automation of Data Science. AAAI 2015: 4268-4269 - [c26]Fatemeh Nargesian, Alain Biem, Prateek Jain, Srinivasan Parthasarathy, Deepak S. Turaga:
SOFIA: An Analytics Recommendation System. ISWC (Posters & Demos) 2015 - [c25]Houping Xiao, Jing Gao, Deepak S. Turaga, Long H. Vu, Alain Biem:
Temporal Multi-View Inconsistency Detection for Network Traffic Analysis. WWW (Companion Volume) 2015: 455-465 - 2014
- [j10]Shiming Yang, Konstantinos Kalpakis, Alain Biem:
Detecting Road Traffic Events by Coupling Multiple Timeseries With a Nonparametric Bayesian Method. IEEE Trans. Intell. Transp. Syst. 15(5): 1936-1946 (2014) - [c24]Peter D. Kirchner, Matthias Böhm, Berthold Reinwald, Daby M. Sow, J. Michael Schmidt, Deepak S. Turaga, Alain Biem:
Large Scale Discriminative Metric Learning. IPDPS Workshops 2014: 1656-1663 - [p1]Alain Biem:
Neural Networks: A Review. Data Classification: Algorithms and Applications 2014: 205-244 - 2013
- [j9]Alain Biem, Hanhua Feng, Anton Riabov, Deepak S. Turaga:
Real-time analysis and management of big time-series data. IBM J. Res. Dev. 57(3/4): 8 (2013) - [c23]Shiming Yang, Konstantinos Kalpakis, Alain Biem:
Spatio-temporal coupled Bayesian Robust Principal Component Analysis for road traffic event detection. ITSC 2013: 392-398 - 2012
- [j8]Daby M. Sow, Jimeng Sun, Alain Biem, Jianying Hu, Marion Blount, Shahram Ebadollahi:
Real-time analysis for short-term prognosis in intensive care. IBM J. Res. Dev. 56(5): 3 (2012) - [c22]Shiming Yang, Konstantinos Kalpakis, Alain Biem:
An adaptive observation site selection strategy for road traffic data assimilation. CTS@SIGSPATIAL 2012: 2-7 - 2011
- [j7]Mathias M. Adankon, Mohamed Cheriet, Alain Biem:
Semisupervised Learning Using Bayesian Interpretation: Application to LS-SVM. IEEE Trans. Neural Networks 22(4): 513-524 (2011) - [i1]Mahmoud S. Mahmoud, Andrew Ensor, Alain Biem, Bruce G. Elmegreen, Sergei Gulyaev:
Data Provenance and Management in Radio Astronomy: A Stream Computing Approach. CoRR abs/1112.2584 (2011) - 2010
- [j6]Alain Biem, Eric Bouillet, Hanhua Feng, Anand Ranganathan, Anton Riabov, Olivier Verscheure, Haris N. Koutsopoulos, Mahmood Rahmani, Baris Güç:
Real-Time Traffic Information Management using Stream Computing. IEEE Data Eng. Bull. 33(2): 64-68 (2010) - [c21]Alain Biem, Bruce G. Elmegreen, Olivier Verscheure, Deepak S. Turaga, Henrique Andrade, Tim Cornwell:
A streaming approach to radio astronomy imaging. ICASSP 2010: 1654-1657 - [c20]Daby M. Sow, Alain Biem, Marion Blount, Maria Ebling, Olivier Verscheure:
Body sensor data processing using stream computing. Multimedia Information Retrieval 2010: 449-458 - [c19]Alain Biem, Eric Bouillet, Hanhua Feng, Anand Ranganathan, Anton Riabov, Olivier Verscheure, Haris N. Koutsopoulos, Carlos Moran:
IBM infosphere streams for scalable, real-time, intelligent transportation services. SIGMOD Conference 2010: 1093-1104
2000 – 2009
- 2009
- [j5]Mathias M. Adankon, Mohamed Cheriet, Alain Biem:
Semisupervised Least Squares Support Vector Machine. IEEE Trans. Neural Networks 20(12): 1858-1870 (2009) - [c18]Lars K. S. Daldorff, Deepak S. Turaga, Olivier Verscheure, Alain Biem:
Direction of Arrival estimation using single tripole radio antenna. ICASSP 2009: 2149-2152 - [c17]Scott Schneider, Henrique Andrade, Bugra Gedik, Alain Biem, Kun-Lung Wu:
Elastic scaling of data parallel operators in stream processing. IPDPS 2009: 1-12 - 2008
- [c16]Alain Biem, Nathan Caswell:
A Value Network Model for Strategic Analysis. HICSS 2008: 361 - 2006
- [j4]Alain Biem:
Minimum Classification Error Training for Online Handwriting Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 28(7): 1041-1051 (2006) - [j3]Roongroj Nopsuwanchai, Alain Biem, W. F. Clocksin:
Maximization of Mutual Information for Offline Thai Handwriting Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 28(8): 1347-1351 (2006) - 2005
- [c15]Gregory F. Russell, Jianying Hu, Alain Biem, Andre Heilper, Dmitry Markman:
Dynamic Signature Verification Using Discriminative Training. ICDAR 2005: 1260-1264 - 2004
- [c14]Roongroj Nopsuwanchai, Alain Biem:
Prototype-based minimum error classifier for handwritten digits recognition. ICASSP (5) 2004: 845-848 - 2003
- [c13]Roongroj Nopsuwanchai, Alain Biem:
Discriminative training of tied mixture density HMMs for online handwritten digit recognition. ICASSP (2) 2003: 817-820 - [c12]Alain Biem:
Optimizing features and models using the minimum classification error criterion. ICASSP (1) 2003: 868-871 - [c11]Alain Biem:
A Model Selection Criterion for Classification: Application to HMM Topology Optimization. ICDAR 2003: 104-108 - 2002
- [c10]Alain Biem, Jin-Young Ha, Jayashree Subrahmonia:
A Bayesian model selection criterion for HMM topology optimization. ICASSP 2002: 989-992 - [c9]Alain Biem:
Minimum classification error training for online handwritten word recognition. IWFHR 2002: 61-66 - 2001
- [j2]Alain Biem, Shigeru Katagiri, Erik McDermott, Biing-Hwang Juang:
An application of discriminative feature extraction to filter-bank-based speech recognition. IEEE Trans. Speech Audio Process. 9(2): 96-110 (2001) - [c8]Danfeng Li, Alain Biem, Jayashree Subrahmonia:
HMM topology optimization for handwriting recognition. ICASSP 2001: 1521-1524 - [c7]Alain Biem:
Minimum classification error training of hidden Markov models for handwriting recognition. ICASSP 2001: 1529-1532 - 2000
- [c6]Erik McDermott, Alain Biem, Seiichi Tenpaku, Shigeru Katagiri:
Discriminative training for large vocabulary telephone-based name recognition. ICASSP 2000: 3739-3742
1990 – 1999
- 1997
- [j1]Alain Biem, Shigeru Katagiri, Biing-Hwang Juang:
Pattern recognition using discriminative feature extraction. IEEE Trans. Signal Process. 45(2): 500-504 (1997) - [c5]Alain Biem, Shigeru Katagiri:
Cepstrum-based filter-bank design using discriminative feature extraction training at various levels. ICASSP 1997: 1503-1506 - [c4]Eric A. Woudenberg, Alain Biem, Erik McDermott, Shigeru Katagiri:
Efficient normalization based upon GPD [generalized probabilistic descent]. ICASSP 1997: 3245-3248 - 1995
- [c3]Alain Biem, Erik McDermott, Shigeru Katagiri:
A discriminative filter bank model for speech recognition. EUROSPEECH 1995: 545-548 - 1994
- [c2]Alain Biem, Shigeru Katagiri:
Filter bank design based on discriminative feature extraction. ICASSP (1) 1994: 485-488 - 1993
- [c1]Alain Biem, Shigeru Katagiri:
Feature extraction based on minimum classification error/generalized probabilistic descent method. ICASSP (2) 1993: 275-278
Coauthor Index
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